# #Lagos download script
LAGOSNE::lagosne_get(dest_folder = LAGOSNE:::lagos_path())
#Load in lagos
lagos <- lagosne_load()
#Grab the lake centroid info
lake_centers <- lagos$locus
#Look at the column names
#names(lake_centers)
#Look at the structure
#str(lake_centers)
#View the full dataset
#View(lake_centers %>% slice(1:100))
#st_as_sf, takes table and makes into spatial objects
spatial_lakes <- st_as_sf(lake_centers,coords=c('nhd_long','nhd_lat'),
crs=4326) %>% #crs is projection system. diff codes
st_transform(2163) #transforming projection for map view
#Subset for plotting
subset_spatial <- spatial_lakes %>%
slice(1:100)
subset_baser <- spatial_lakes[1:100,]
#Dynamic mapviewer
mapview(subset_spatial)
states <- us_states()
#Plot all the states to check if they loaded
#mapview(states)
minnesota <- states %>%
filter(name == 'Minnesota') %>%
st_transform(2163)
#Subset lakes based on spatial position
minnesota_lakes <- spatial_lakes[minnesota,]
#Plotting the first 1000 lakes
minnesota_lakes %>%
arrange(-lake_area_ha) %>%
slice(1:1000) %>%
mapview(.,zcol = 'lake_area_ha')
#filtering out the states of interest
Iowa <- states %>%
filter(name == 'Iowa') %>%
st_transform(2163)
Illinois <- states %>%
filter(name == 'Illinois') %>%
st_transform(2163)
#combining the two states and mapping them
maps <- rbind(Iowa,Illinois)
mapview(maps)
iowa_lakes<-spatial_lakes[Iowa,]
illinois_lakes <- spatial_lakes[Illinois,]
A: There are 4,644 lakes in Iowa, and 11,822 lakes in Illinois for a combined total of 16,466 lakes. Minnesota has 29,038 lakes, almost double the amount in Iowa and Illinois.
iowa_size <- iowa_lakes %>%
ggplot(aes(x=lake_area_ha))+
geom_histogram(bins=20,
fill="cadetblue3",
color= "lightblue3",
alpha=0.5)+
scale_x_log10()+
theme_few()+
labs(x= 'Area (ha)', y= 'Count',title="Iowa Lake Size Histogram")
illinois_size <- illinois_lakes %>%
ggplot(aes(x=lake_area_ha))+
geom_histogram(bins=20,
fill="cadetblue3",
color= "lightblue3",
alpha=0.5)+
scale_x_log10()+
theme_few()+
labs(x= 'Area (ha)', y= 'Count',title="Illinois Lake Size Histogram")
ggarrange(iowa_size,illinois_size, ncol=1, nrow=2)
Iowa_Illinois_lakes <- rbind(iowa_lakes,illinois_lakes)
Iowa_Illinois_lakes %>%
arrange(-lake_area_ha) %>%
slice(1:1000) %>%
mapview(.,zcol='lake_area_ha')
A: A dataset with lake depths would be beneficial when looking at lake size. This could potentially include the maximum, minimum, and average depth and would give us better information to the volume these lakes hold.